Leonid Perlovsky

138 papers and 2.3k indexed citations i.

About

Leonid Perlovsky is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Leonid Perlovsky has authored 138 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Cognitive Neuroscience, 65 papers in Artificial Intelligence and 21 papers in Computational Theory and Mathematics. Recurrent topics in Leonid Perlovsky’s work include Cognitive Science and Education Research (102 papers), Neural Networks and Applications (40 papers) and Chaos, Complexity, and Education (19 papers). Leonid Perlovsky is often cited by papers focused on Cognitive Science and Education Research (102 papers), Neural Networks and Applications (40 papers) and Chaos, Complexity, and Education (19 papers). Leonid Perlovsky collaborates with scholars based in United States, Brazil and Russia. Leonid Perlovsky's co-authors include José F. Fontanari, Félix Schoeller, Nobuo Masataka, Marie‐Claude Bonniot‐Cabanac, Roman Ilin, Daniel S. Levine, Ross Deming, Michel Cabanac, Arnaud Cabanac and M. Cabanac and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Physics Letters B and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Leonid Perlovsky i

Fields of papers citing papers by Leonid Perlovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonid Perlovsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leonid Perlovsky. The network helps show where Leonid Perlovsky may publish in the future.

Countries citing papers authored by Leonid Perlovsky

Since Specialization
Citations

This map shows the geographic impact of Leonid Perlovsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leonid Perlovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonid Perlovsky more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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